import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
     from .tokenization_fnet import FNetTokenizer
else:
     _SCREAMING_SNAKE_CASE 		=      None

_SCREAMING_SNAKE_CASE 		=      logging.get_logger(__name__)
_SCREAMING_SNAKE_CASE 		=      {"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

_SCREAMING_SNAKE_CASE 		=      {
    """vocab_file""": {
        """google/fnet-base""": """https://huggingface.co/google/fnet-base/resolve/main/spiece.model""",
        """google/fnet-large""": """https://huggingface.co/google/fnet-large/resolve/main/spiece.model""",
    },
    """tokenizer_file""": {
        """google/fnet-base""": """https://huggingface.co/google/fnet-base/resolve/main/tokenizer.json""",
        """google/fnet-large""": """https://huggingface.co/google/fnet-large/resolve/main/tokenizer.json""",
    },
}

_SCREAMING_SNAKE_CASE 		=      {
    """google/fnet-base""": 5_1_2,
    """google/fnet-large""": 5_1_2,
}

_SCREAMING_SNAKE_CASE 		=      """▁"""
class SCREAMING_SNAKE_CASE_		(      __lowerCAmelCase		):
   __lowerCAmelCase           =				VOCAB_FILES_NAMES
   __lowerCAmelCase           =				PRETRAINED_VOCAB_FILES_MAP
   __lowerCAmelCase           =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __lowerCAmelCase           =				["""input_ids""", """token_type_ids"""]
   __lowerCAmelCase           =				FNetTokenizer







   def __init__(     self						:						List[Any]   ,   lowerCamelCase_						:						str=None   ,   lowerCamelCase_						:						int=None   ,   lowerCamelCase_						:						List[str]=False   ,   lowerCamelCase_						:						Dict=True   ,   lowerCamelCase_						:						str=True   ,   lowerCamelCase_						:						Dict="<unk>"   ,   lowerCamelCase_						:						Any="[SEP]"   ,   lowerCamelCase_						:						Tuple="<pad>"   ,   lowerCamelCase_						:						Optional[Any]="[CLS]"   ,   lowerCamelCase_						:						Optional[Any]="[MASK]"   ,   **lowerCamelCase_						:						List[Any]   ,   ):





    """simple docstring"""


    UpperCamelCase			  =      (
        AddedToken(lowerCamelCase_   ,   lstrip=lowerCamelCase_   ,   rstrip=lowerCamelCase_   ,   normalized=lowerCamelCase_				)
        if isinstance(lowerCamelCase_   ,   lowerCamelCase_				)
        else mask_token
    )

    super().__init__(
        lowerCamelCase_   ,   tokenizer_file=lowerCamelCase_   ,   do_lower_case=lowerCamelCase_   ,   remove_space=lowerCamelCase_   ,   keep_accents=lowerCamelCase_   ,   unk_token=lowerCamelCase_   ,   sep_token=lowerCamelCase_   ,   pad_token=lowerCamelCase_   ,   cls_token=lowerCamelCase_   ,   mask_token=lowerCamelCase_   ,   **lowerCamelCase_   ,   )

    UpperCamelCase			  =      do_lower_case
    UpperCamelCase			  =      remove_space
    UpperCamelCase			  =      keep_accents
    UpperCamelCase			  =      vocab_file
    UpperCamelCase			  =      False if not self.vocab_file else True







   def 						lowerCamelCase_	(     self						:						Any   ,   lowerCamelCase_						:						List[int]   ,   lowerCamelCase_						:						Optional[List[int]] = None				):





    """simple docstring"""


    UpperCamelCase			  =      [self.sep_token_id]
    UpperCamelCase			  =      [self.cls_token_id]
    if token_ids_a is None:
     return cls + token_ids_a + sep
    return cls + token_ids_a + sep + token_ids_a + sep







   def 						lowerCamelCase_	(     self						:						Union[str, Any]   ,   lowerCamelCase_						:						List[int]   ,   lowerCamelCase_						:						Optional[List[int]] = None				):





    """simple docstring"""


    UpperCamelCase			  =      [self.sep_token_id]
    UpperCamelCase			  =      [self.cls_token_id]

    if token_ids_a is None:
     return len(cls + token_ids_a + sep				) * [0]
    return len(cls + token_ids_a + sep				) * [0] + len(token_ids_a + sep				) * [1]







   def 						lowerCamelCase_	(     self						:						str   ,   lowerCamelCase_						:						str   ,   lowerCamelCase_						:						Optional[str] = None				):





    """simple docstring"""


    if not os.path.isdir(lowerCamelCase_				):
     logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""				)
     return
    UpperCamelCase			  =      os.path.join(
        lowerCamelCase_   ,   (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]				)

    if os.path.abspath(self.vocab_file				) != os.path.abspath(lowerCamelCase_				):
     copyfile(self.vocab_file   ,   lowerCamelCase_				)

    return (out_vocab_file,)

from datetime import datetime

import requests
from bsa import BeautifulSoup

if __name__ == "__main__":
     _SCREAMING_SNAKE_CASE 		=      input("""Enter image url: """).strip()
     print(F'''Downloading image from {url} ...''')
     _SCREAMING_SNAKE_CASE 		=      BeautifulSoup(requests.get(url).content, """html.parser""")
     # The image URL is in the content field of the first meta tag with property og:image
     _SCREAMING_SNAKE_CASE 		=      soup.find("""meta""", {"""property""": """og:image"""})["""content"""]
     _SCREAMING_SNAKE_CASE 		=      requests.get(image_url).content
     _SCREAMING_SNAKE_CASE 		=      F'''{datetime.now():%Y-%m-%d_%H:%M:%S}.jpg'''
     with open(file_name, """wb""") as fp:
          fp.write(image_data)
     print(F'''Done. Image saved to disk as {file_name}.''')
